Allemann Aurélie, Kraemer Julia G, Korten Insa, Ramsey Kathryn, Casaulta Carmen, Wüthrich Daniel, Ramette Alban, Endimiani Andrea, Latzin Philipp, Hilty Markus
Institute for Infectious Diseases, University of Bern, Bern, Switzerland.
Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland.
Front Microbiol. 2019 Feb 26;10:212. doi: 10.3389/fmicb.2019.00212. eCollection 2019.
Polymicrobial infections of the respiratory tract due to antibiotic resistant bacteria are a great concern in patients with cystic fibrosis (CF). We therefore aimed at establishing a functional metagenomic method to analyze the nasal resistome in infants with CF within the first year of life. We included samples from patients before antibiotic treatment, which allowed obtaining information regarding natural status of the resistome. In total, we analyzed 130 nasal swabs from 26 infants with CF and screened for β-lactams (ampicillin, amoxicillin-clavulanic acid, and cefuroxime) and other classes of antibiotic resistances (tetracycline, chloramphenicol and trimethoprim-sulfamethoxazole). For 69 swabs (53% of total), we found at least one non-susceptible phenotype. Analyses of the inserts recovered from non-susceptible clones by nanopore MinION sequencing revealed a large reservoir of resistance genes including mobile elements within the antibiotic naïve samples. Comparing the data of the resistome with the microbiota composition showed that the bacterial phyla and operational taxonomic units (OTUs) of the microbiota rather than the antibiotic treatment were associated with the majority of non-susceptible phenotypes in the resistome. Future studies will reveal if characterization of the resistome can help in clinical decision-making in patients with CF.
对于囊性纤维化(CF)患者而言,由耐抗生素细菌引起的呼吸道多微生物感染是一个重大问题。因此,我们旨在建立一种功能宏基因组学方法,以分析一岁以内CF婴儿的鼻腔耐药组。我们纳入了抗生素治疗前患者的样本,从而能够获取有关耐药组自然状态的信息。我们总共分析了26名CF婴儿的130份鼻拭子,并筛查了β-内酰胺类抗生素(氨苄青霉素、阿莫西林-克拉维酸和头孢呋辛)以及其他类别的抗生素耐药性(四环素、氯霉素和甲氧苄啶-磺胺甲恶唑)。在69份拭子(占总数的53%)中,我们发现了至少一种非敏感表型。通过纳米孔MinION测序从非敏感克隆中回收的插入片段分析显示,在未接触过抗生素的样本中存在大量包括移动元件在内的耐药基因库。将耐药组数据与微生物群组成进行比较表明,微生物群的细菌门和操作分类单元(OTU)而非抗生素治疗与耐药组中的大多数非敏感表型相关。未来的研究将揭示耐药组的特征是否有助于CF患者的临床决策。